2021 Spring DHC5031 Introduction to Medical Informatics

 

Course Description

    • Introductory class of biomedical informatics
    • In-depth explanation on sub-areas of biomedical informatics
    • This class will explain the topics of medical informatics based on healthcare data
    • On/off hybrid class
      • Based on the policy of University, the class cloud be online only. 

 

Instructor

    • Prof. Soo-Yong Shin (sy.shin (at) skku.edu)

Date & Room

Reference (optional)

    • 최윤섭, 디지털 헬스케어, 클라우드나인, 2020
      • Highly recommended
    • 보건의료정보학(대한의료정보학회 저, 현문사, 2014)
      • Optional reference. The students don’t need to buy this reference.

Evaluation

    • Attendance: 10%
    • Assignment: 30%
      • Assignments will be given irregularly based on the topic of each class
      • In total, there will be three assignments.
      • Students should submit an assignment before next class
    • Final term: 60%
      • It could be changed into report based on the COVID-19 status.
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Assignment

    • All assignments should be submitted to Instructor via email.
      • File naming convention: 의료정보학_Assignment(No)_학번_이름 ex) 의료정보학_Assignment1_20201234_홍길동.doc
    • 채점결과

Final Term

Course Schedule

(Course schedule can be changed.)

    1. 02/23: What is medical informatics
      • Supplementary Video Lecture (Optional)
        • What is Biomedical and Health Informatics? (by William Hersh, Oregon Health & Science University)
          • You have to watch following three lectures (use Chrome browser)
            • What is Biomedical and Health Informatics (1)?
            • What is Biomedical and Health Informatics (2)?
            • A Short History of Biomedical and Health Informatics
    2. 03/02: Data acquisition (1) – Healthcare Big Data
    3. 03/09: Data acquisition (2) – Hospital information system
    4. 03/16: Data acquisition (3) – Patient-generated health data
    5. 03/23: Data acquisition (4) – Social determinant of health
    6. 03/30: Data acquisition (5) – Genome data
    7. 04/06: Standards for healthcare data
    8. 04/13: Ethics & regulation
    9. 04/20:  P&S: De-identification of healthcare data
    10. 04/27: Data analysis (1): Clinical Research Informatics 
    11. 05/04: Data analysis (2): Artificial Intelligence
    12. 05/11: Clinical validation
    13. 05/18: Business model of digital health
    14. 05/25: Recent Topics
    15. 06/01: Finalterm